Satya V.V.N. Kothapalli

Satya V.V.N. Kothapalli

Washington University in St. Louis

H-index: 13

North America-United States

About Satya V.V.N. Kothapalli

Satya V.V.N. Kothapalli, With an exceptional h-index of 13 and a recent h-index of 10 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of Quantitative Bain MRI and Application of MR-HIFU.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human …

DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5 D Diffusion Model

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

Learning‐based motion artifact removal networks for quantitative mapping

Quantitative Gradient Echo MRI Identifies Dark Matter as a New Imaging Biomarker of Neurodegeneration that Precedes Tissue Atrophy in Early Alzheimer’s Disease

Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative Mapping

In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia

A novel MRI approach for evaluation of microstructural neurodegeneration in early Alzheimer disease

Satya V.V.N. Kothapalli Information

University

Position

Staff Scientist at School of Medicine

Citations(all)

416

Citations(since 2020)

263

Cited By

252

hIndex(all)

13

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

10

Email

University Profile Page

Washington University in St. Louis

Google Scholar

View Google Scholar Profile

Satya V.V.N. Kothapalli Skills & Research Interests

Quantitative Bain MRI and Application of MR-HIFU

Top articles of Satya V.V.N. Kothapalli

Title

Journal

Author(s)

Publication Date

Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human …

NMR in Biomedicine

Sayan Kahali

Satya VVN Kothapalli

Xiaojian Xu

Ulugbek S Kamilov

Dmitriy A Yablonskiy

2023/5

DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5 D Diffusion Model

arXiv preprint arXiv:2311.18073

Yuyang Hu

Satya VVN Kothapalli

Weijie Gan

Alexander L Sukstanskii

Gregory F Wu

...

2023/11/29

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

arXiv preprint arXiv:2210.06330

Xiaojian Xu

Weijie Gan

Satya VVN Kothapalli

Dmitriy A Yablonskiy

Ulugbek S Kamilov

2022/10/12

Learning‐based motion artifact removal networks for quantitative mapping

Magnetic resonance in medicine

Xiaojian Xu

Satya VVN Kothapalli

Jiaming Liu

Sayan Kahali

Weijie Gan

...

2022/7

Quantitative Gradient Echo MRI Identifies Dark Matter as a New Imaging Biomarker of Neurodegeneration that Precedes Tissue Atrophy in Early Alzheimer’s Disease

Journal of Alzheimer's Disease

Satya VVN Kothapalli

Tammie L Benzinger

Andrew J Aschenbrenner

Richard J Perrin

Charles F Hildebolt

...

2022/1/1

Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative Mapping

arXiv preprint arXiv:2109.01622

Xiaojian Xu

Satya VVN Kothapalli

Jiaming Liu

Sayan Kahali

Weijie Gan

...

2021/9

In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia

Neuroimage

Dmitriy A Yablonskiy

Jie Wen

Satya VVN Kothapalli

Alexander L Sukstanskii

2021/7/15

A novel MRI approach for evaluation of microstructural neurodegeneration in early Alzheimer disease

Alzheimer's & Dementia

Satya VVN Kothapalli

Tammie LS Benzinger

Andrew J Aschenbrenner

Richard J Perrin

Charles F Hildebolt

...

2021/12

Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images

Magnetic resonance in medicine

Max Torop

Satya VVN Kothapalli

Yu Sun

Jiaming Liu

Sayan Kahali

...

2020/12

See List of Professors in Satya V.V.N. Kothapalli University(Washington University in St. Louis)

Co-Authors

H-index: 42
hans hebert

hans hebert

Karolinska Institutet

H-index: 40
Gaio Paradossi

Gaio Paradossi

Università degli Studi di Roma Tor Vergata

H-index: 37
Torkel Brismar

Torkel Brismar

Karolinska Institutet

H-index: 37
Alexander Sukstanskii

Alexander Sukstanskii

Washington University in St. Louis

H-index: 30
Ulugbek S. Kamilov

Ulugbek S. Kamilov

Washington University in St. Louis

H-index: 27
Hong Chen

Hong Chen

Washington University in St. Louis

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